refactor: use svd_labels for fallback labels in explorer and axis_classifier (Task 4)

analysis/axis_classifier.py

@@ -13,7 +13,7 @@ import numpy as np
 import re
 import json
 
-from analysis.svd_labels import get_svd_label
+from analysis.svd_labels import get_svd_label, get_fallback_labels
 
 _logger = logging.getLogger(__name__)
 
@@ -44,16 +44,21 @@ _LABELS = {
 def display_label_for_modal(modal_label: Optional[str], axis: str) -> str:
     """Return a user-facing axis label for a modal/internal label.
 
-    Keeps existing behavior: map numeric fallback names 'As 1' / 'Stempatroon As 1'
-    to the conventional semantic defaults used in the UI. Any other label is
-    returned unchanged; None is treated as the semantic fallback for the axis.
+    Maps numeric fallback names 'As 1' / 'Stempatroon As 1' to the
+    semantic labels from SVD_THEMES. Any other label is returned unchanged.
+    None is treated as the semantic fallback for the axis.
     """
     if modal_label is None:
-        return "Links\u2013Rechts" if axis == "x" else "Progressief\u2013Conservatief"
+        # Fallback to component 1 (x) or 2 (y)
+        comp = 1 if axis == "x" else 2
+        return get_svd_label(comp)
+
+    # Map "As 1" / "As 2" to semantic labels
     if axis == "x" and modal_label in ("As 1", "Stempatroon As 1"):
-        return "Links\u2013Rechts"
+        return get_svd_label(1)
     if axis == "y" and modal_label in ("As 2", "Stempatroon As 2"):
-        return "Progressief\u2013Conservatief"
+        return get_svd_label(2)
+
     return modal_label
 
 
@@ -430,7 +435,8 @@ def _assign_label(
     Returns (label, interpretation_string, quality_score).
     """
     orientation = "horizontale" if axis == "x" else "verticale"
-    fallback_label = _LABELS["fallback_x"] if axis == "x" else _LABELS["fallback_y"]
+    _x_fallback, _y_fallback = get_fallback_labels()
+    fallback_label = _x_fallback if axis == "x" else _y_fallback
     quality = max(abs(r_lr), abs(r_co), abs(r_pc))
 
     if abs(r_lr) >= _THRESHOLD:
@@ -608,13 +614,14 @@ def classify_axes(
 
         # ── Final label resolution ────────────────────────────────────────────
         # If both motion and ideology paths produced nothing, use generic fallback.
+        _x_fallback, _y_fallback = get_fallback_labels()
         if x_lbl is None:
-            x_lbl = _LABELS["fallback_x"]
+            x_lbl = _x_fallback
             x_int = _INTERPRETATION_TEMPLATES["fallback"].format(
                 orientation="horizontale"
             )
         if y_lbl is None:
-            y_lbl = _LABELS["fallback_y"]
+            y_lbl = _y_fallback
             y_int = _INTERPRETATION_TEMPLATES["fallback"].format(
                 orientation="verticale"
             )